Fragmented Data Pipelines: Data was spread across multiple platforms like EHRs, financial systems, and diagnostic reports, making it difficult to consolidate and analyze for clinical reporting.
Delayed Reports: The absence of an integrated data structure caused reporting delays, slowing down operational workflows and decision-making processes critical to patient care.
Compliance Lag: The inability to consolidate healthcare data effectively complicated HIPAA compliance, posing risks to patient data privacy and secure data sharing.
Manual Data Stacking: Data integration relied heavily on manual processes, which were time-consuming and prone to errors, leading to a lack of actionable insights that negatively impacted patient care.
Limited KPI Monitoring: The organization lacked a unified system to monitor key performance indicators (KPIs) such as patient outcomes, financial health, and resource utilization, limiting their ability to optimize resource allocation.
After analyzing the challenges discussed in the table, our experts recommended building a centralized data platform that connects various healthcare systems. This solution provided advanced analytics, helping clinicians and administrators to securely handle data.
ETL Automation: Using Microsoft Azure Data Factory, we automated the process of extracting, transforming, and loading (ETL) data to ensure consistent and accurate data ingestion from all systems.
Real-Time Analysis: We deployed machine learning(ML) and analytics tools to extract insights from both historical and real-time data, helping clinicians and administrators to go better with decisions.
Power BI Dashboard Integration: We developed a custom, interactive Power BI dashboards to visualize real-time updates on patient outcomes, financial performance, and hospital resource usage, allowing stakeholders to monitor KPIs instantly.
Data Security and Governance: To meet HIPAA requirements, we implemented encryption (AES-256) and role-based access control (RBAC), ensuring that only authorized personnel could access sensitive information. Automated logging and audit trails were also added for compliance.
The new system ensured full compliance with HIPAA and other healthcare regulations, reducing the risk of non-compliance penalties and avoiding potential fines up to $90,000 annually.
Operational costs were reduced by approximately $250,000 per year due to the automation of manual data handling and reporting tasks, freeing up resources for reinvestment in patient care and operational improvements.
The solution scaled effectively, allowing the healthcare network to handle 30% more data and integrate new data sources, supporting its expansion across multiple locations.
They have the experience and agility to understand what’s possible and deliver to our expectations.
